Representation and modeling of spherical harmonics manifold for source localization
Spherical harmonics root-MUSIC (MUltiple SIgnal Classification) technique for source localization using spherical microphone array is presented in this paper. Earlier work on root-MUSIC is limited to linear and planar arrays. Root-MUSIC for planar array utilizes the concept of manifold separation and beamspace transformation. In this paper, the Vandermonde structure of array manifold for a particular order is proved. Hence, the validity of root-MUSIC in the spherical harmonics domain is confirmed. The proposed method is evaluated by using simulated experiments on source localization. Root mean square error analysis and statistical analysis are presented. The experimental measures at various signal to noise ratios (SNRs) show the robustness of the proposed method. The method is also verified by using experiment on real signal acquired over spherical microphone array.